Private data isn't stored on public cloud servers
On-device AI models under 64MB for embedded applications
Kneron's market-ready solutions enable on-device AI inferencing and are cost-effective for device makers. Our patented reconfigurable technology allows our solutions to adapt in real-time to audio, 2D, and 3D image recognition application needs, and support mainstream AI frameworks and CNN models.
Best in class balance of performance and power efficiency
AI algorithm models that enable and accelerate AI inferencing on-device
Lightweight visual recognition algorithms that outperform models double in size
Kneron's solutions are designed to accelerate AI computing in the smart vehicle ，security devices，and smart home.
Kneron's high-performance smart vehicle solutions can identify people, vehicles, signs and obstacles, etc. AI applications such as blind spot detection, collision warning, and driving behavior detection can improve user driving experience and reduce risks.
Kneron's on-device computation enables cameras to instantly detect multiple faces, verify identities, and recognize dangerous objects. This can also be applied to traffic controls such as license plate detection and lane control.
Kneron's solutions enable smart home products to be truly intelligent. Through visual and audio commands, users will be able to control various smart home products without worrying about personal data sent to the cloud.
Kneron solutions enable edge servers with high bandwidth, low latency, and substantial energy savings. Applications include IoT, smart city, and industrial settings.
Let us know how we can work with you to benefit from on-device edge AI today.